Outcomes Following Use of a Lymph Node Collection Kit for Lung Cancer Surgery: A Pragmatic, Population-Based, Multi-Institutional, Staggered Implementation Study.

[1]  A. Jemal,et al.  Institution-level differences in quality and outcomes of lung cancer resections in the United States. , 2020, Chest.

[2]  R. Osarogiagbon,et al.  Beyond Margin Status: Population-Based Validation of the Proposed International Association for the Study of Lung Cancer Residual Tumor Classification Recategorization , 2020, Journal of Thoracic Oncology.

[3]  A. Nicholson,et al.  The IASLC Lung Cancer Staging Project: Analysis of Resection Margin Status and Proposals for Residual Tumor (R) Descriptors for Non-Small Cell Lung Cancer. , 2019, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[4]  Jonathan A C Sterne,et al.  Accounting for missing data in statistical analyses: multiple imputation is not always the answer , 2019, International journal of epidemiology.

[5]  W. Liang,et al.  Impact of Examined Lymph Node Count on Precise Staging and Long-Term Survival of Resected Non–Small-Cell Lung Cancer: A Population Study of the US SEER Database and a Chinese Multi-Institutional Registry , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[6]  M. Wouters,et al.  The Quality of Staging Non-Small Cell Lung Cancer in the Netherlands: Data From the Dutch Lung Surgery Audit. , 2016, The Annals of thoracic surgery.

[7]  R. Rami-Porta,et al.  Comment on the Proposals for the Revision of the N Descriptors in the Forthcoming Eighth Edition of the TNM Classification for Lung Cancer. , 2016, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[8]  Hisao Asamura,et al.  The International Association for the Study of Lung Cancer Lung Cancer Staging Project: Proposals for the Revision of the N Descriptors in the Forthcoming 8th Edition of the TNM Classification for Lung Cancer , 2015, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[9]  R. Osarogiagbon,et al.  Audit of lymphadenectomy in lung cancer resections using a specimen collection kit and checklist. , 2015, The Annals of thoracic surgery.

[10]  R. Osarogiagbon,et al.  Number of lymph nodes associated with maximal reduction of long-term mortality risk in pathologic node-negative non-small cell lung cancer. , 2014, The Annals of thoracic surgery.

[11]  R. Osarogiagbon,et al.  Nonexamination of lymph nodes and survival after resection of non-small cell lung cancer. , 2013, The Annals of thoracic surgery.

[12]  R. Osarogiagbon,et al.  Mediastinal Lymph Node Examination and Survival in Resected Early-Stage Non–Small-Cell Lung Cancer in the Surveillance, Epidemiology, and End Results Database , 2012, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[13]  Eduardo Salas,et al.  Improving Patient Safety Through Teamwork and Team Training , 2012 .

[14]  R. Osarogiagbon,et al.  Use of a Surgical Specimen-Collection Kit to Improve Mediastinal Lymph-Node Examination of Resectable Lung Cancer , 2012, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[15]  W. V. van Boven,et al.  Completeness of lung cancer surgery: is mediastinal dissection common practice? , 2012, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[16]  Rebecca R Andridge,et al.  Studies with staggered starts: multiple baseline designs and group-randomized trials. , 2011, American journal of public health.

[17]  V. Rusch,et al.  Randomized trial of mediastinal lymph node sampling versus complete lymphadenectomy during pulmonary resection in the patient with N0 or N1 (less than hilar) non-small cell carcinoma: results of the American College of Surgery Oncology Group Z0030 Trial. , 2011, The Journal of thoracic and cardiovascular surgery.

[18]  A. McBride.  Association of Community Cancer Centers , 2020, Definitions.

[19]  V. Rusch,et al.  The IASLC Lung Cancer Staging Project: A Proposal for a New International Lymph Node Map in the Forthcoming Seventh Edition of the TNM Classification for Lung Cancer , 2009, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[20]  Anthony Shakeshaft,et al.  The multiple baseline design for evaluating population-based research. , 2007, American journal of preventive medicine.

[21]  H. Dienemann,et al.  Prognostic assessment after surgical resection for non-small cell lung cancer: experiences in 2083 patients. , 2007, Lung cancer.

[22]  Andrew K Stewart,et al.  Patterns of surgical care of lung cancer patients. , 2005, The Annals of thoracic surgery.

[23]  J. Concato,et al.  Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. , 1995, Journal of clinical epidemiology.

[24]  P Peduzzi,et al.  Importance of events per independent variable in proportional hazards analysis. I. Background, goals, and general strategy. , 1995, Journal of clinical epidemiology.

[25]  A R Feinstein,et al.  The Will Rogers phenomenon. Stage migration and new diagnostic techniques as a source of misleading statistics for survival in cancer. , 1985, The New England journal of medicine.

[26]  R. Osarogiagbon,et al.  Association of Pathologic Nodal Staging Quality With Survival Among Patients With Non–Small Cell Lung Cancer After Resection With Curative Intent , 2018, JAMA oncology.

[27]  S. Pocock,et al.  Guideline The Strengthening the Reporting of Observational Studies in Epidemiology ( STROBE ) Statement : Guidelines for reporting observational studies * , 2014 .

[28]  R. Osarogiagbon,et al.  Quality of surgical resection for nonsmall cell lung cancer in a US metropolitan area , 2011, Cancer.

[29]  Lee-Jen Wei,et al.  Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations , 1992 .